What is Data Science? | Introduction to

Publicado em: 26 Julho 2022
no canal de: CS Encephalon

164

Welcome back to CS Encephalon!
Kick-start your Data Science journey with "CS Encephalon" to be Hero from Zero".
in this1st introductory video of Data Science with Python free course entitled, What is Data Science? | What does a Data Scientist do? | How does Big Data relate with Data Science? , we will learn about the basics of Data Science in short video with complete understanding of the data science term.
Data Science careers are one of the most highly compensated careers worldwide currently. Due to its broad application in every industry, there is a higher demand for data scientists who can analyze complex data and communicate the results effectively. In this course, we will be covering the basics of data science and learning the tools used for data science from scratch. We will start the lessons at the beginner level and move up to the advanced level.

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. But how is this different from what statisticians have been doing for years?
As you can see from the above image, a Data Analyst usually explains what is going on by processing history of the data. On the other hand, Data Scientist not only does the exploratory analysis to discover insights from it, but also uses various advanced machine learning algorithms to identify the occurrence of a particular event in the future. A Data Scientist will look at the data from many angles, sometimes angles not known earlier.
So, Data Science is primarily used to make decisions and predictions making use of predictive causal analytics, prescriptive analytics (predictive plus decision science) and machine learning. basic ingredients of data science are as follows....
1) Predictive causal analytics
2) Prescriptive analytics
3) Machine learning for making predictions
4) Machine learning for pattern discovery
Let’s say you are working in a telephone company and you need to establish a network by putting towers in a region. Then, you can use the clustering technique to find those tower locations which will ensure that all the users receive optimum signal strength.

The answer lies in the difference between explaining and predicting.
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this video will provide you the answers of the following questions...
what is data science?
what does a data scientist do?
what are the core responsibilities of data scientist?
what is big data?
what is meant by data age?
what is going on internet every minute?
why are big data and data science related to each other?
why advanced analytics techniques and scientific principles are essential to apply over big data?
how do advanced analytics techniques and scientific principles helps to extract information from big data in data science?
relationship between data science, big data, machine learning and data scientist.
what are the core benefits of applying data science?
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